class_docstr: A profiler that periodically measures RSS (resident set size) delta.
  
  The baseline RSS is measured when the profiler is initialized.
  The RSS result is stored in the rss_deltas_bytes dict of the class.
  
  Attributes:
      interval: The interval for measuring RSS. The default value is 100ms.
      rss_deltas_bytes: The RSS delta bytes stored as dict. Key is the name for the profiling round, value is the list of RSS delta bytes captured periodically.
class_docstr_tok: ["A","profiler","that","periodically","measures","RSS","(","resident","set","size",")","delta",".","The","baseline","RSS","is","measured","when","the","profiler","is","initialized",".","The","RSS","result","is","stored","in","the","rss_deltas_bytes","dict","of","the","class",".","Attributes",":","interval",":","The","interval","for","measuring","RSS",".","The","default","value","is","100ms",".","rss_deltas_bytes",":","The","RSS","delta","bytes","stored","as","dict",".","Key","is","the","name","for","the","profiling","round",",","value","is","the","list","of","RSS","delta","bytes","captured","periodically","."]
docstr: Resets the stored rss_deltas_bytes dict to empty.
docstr_tok: ["Resets","the","stored","rss_deltas_bytes","dict","to","empty","."]
code: def reset(self) -> None:
      """
      Resets the stored rss_deltas_bytes dict to empty.
      """
      self.rss_deltas_bytes = {}
  
file_path: tnt/torchtnt/utils/memory.py
imports: import time
  from collections import deque
  from contextlib import contextmanager
  from datetime import timedelta
  from enum import Enum
  from threading import Event, Thread
  from typing import Any, Dict, Generator, List, Mapping, Sequence, Tuple
  import psutil
  import torch
label_desc: Use image node_id 3 for calling the RSSProfiler obj's underlying member method code with example usage: obj.reset() without return types